Model Comparison
GPT-4 Turbo vs Llama 3.1 70B InstructWhich is better in 2026?
GPT-4 Turbo significantly outperforms across most benchmarks. Llama 3.1 70B Instruct is 75.0x cheaper per token.
Verdict: GPT-4 Turbo vs Llama 3.1 70B Instruct — which is better?
GPT-4 Turbo (by OpenAI) and Llama 3.1 70B Instruct (by Meta) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
GPT-4 Turbo outperforms in 4 benchmarks (DROP, GPQA, HumanEval, MMLU), while Llama 3.1 70B Instruct is better at 0 benchmarks. GPT-4 Turbo significantly outperforms across most benchmarks.
On price, Llama 3.1 70B Instruct is roughly 75.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Choose GPT-4 Turbo if…
- you want the strongest raw capability — it leads on 4 of 4 shared benchmarks
Choose Llama 3.1 70B Instruct if…
- cost matters — it's about 75.0x cheaper per token
- you want the most recent training data — it shipped Jul 2024
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4 Turbo outperforms in 4 benchmarks (DROP, GPQA, HumanEval, MMLU), while Llama 3.1 70B Instruct is better at 0 benchmarks.
GPT-4 Turbo significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-4 Turbo ($10.00/1M tokens) is 50.0x more expensive than Llama 3.1 70B Instruct ($0.20/1M tokens).
For output processing, GPT-4 Turbo ($30.00/1M tokens) is 150.0x more expensive than Llama 3.1 70B Instruct ($0.20/1M tokens).
In conclusion, GPT-4 Turbo is more expensive than Llama 3.1 70B Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 128,000 tokens. Llama 3.1 70B Instruct can generate longer responses up to 128,000 tokens, while GPT-4 Turbo is limited to 4,096 tokens.
License
Usage and distribution terms
GPT-4 Turbo is licensed under a proprietary license, while Llama 3.1 70B Instruct uses Llama 3.1 Community License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Llama 3.1 Community License
Open weights
Release Timeline
When each model was launched
GPT-4 Turbo was released on 2024-04-09, while Llama 3.1 70B Instruct was released on 2024-07-23.
Llama 3.1 70B Instruct is 4 months newer than GPT-4 Turbo.
Apr 9, 2024
2.2 years ago
Jul 23, 2024
1.9 years ago
3mo newerKnowledge Cutoff
When training data ends
GPT-4 Turbo has a documented knowledge cutoff of 2023-12-31, while Llama 3.1 70B Instruct's cutoff date is not specified.
We can confirm GPT-4 Turbo's training data extends to 2023-12-31, but cannot make a direct comparison without Llama 3.1 70B Instruct's cutoff date.
Dec 2023
—
Provider Availability
GPT-4 Turbo is available from Azure, OpenAI. Llama 3.1 70B Instruct is available from Lambda, DeepInfra, Hyperbolic, Groq, Cerebras, Together, Fireworks, Bedrock, Sambanova.
GPT-4 Turbo
Llama 3.1 70B Instruct
Outputs Comparison
Key Takeaways
GPT-4 Turbo
View detailsOpenAI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against GPT-4 Turbo and Llama 3.1 70B Instruct side-by-side, then vote on the output you prefer.
| Feature | | |
|---|
FAQ
Common questions about GPT-4 Turbo vs Llama 3.1 70B Instruct.